Adapted from a talk by... Carole Goble University of Manchester, UK
FaceBook for Workflow e-Scientists myexperiment.org
myExperiment.org A community social network A market place A gateway to other publishing environments  A platform for launching workflows Encapsulated myExperiment Objects Mindful publication
Who is it by and for? Young people. With “MTV” thinking. Familiar with games. And shopping. And social networks. Make our tools like these. Say NO to 1970s interfaces Say NO to restrictive tooling
Principles Focus on making it easy to publish information Discovering and sharing experimental artefacts Publishing results to standard community repositories Publishing scholarly output Familiar social networking / web paradigms Keeping it free and fluid and creative. Me-Science. Crossing system boundaries Trans-workflow Crossing discipline boundaries Multi-disciplinary, Inter-disciplinary, Trans-disciplinary Clustering expertise Intellectual fusion outside discipline. We-Science.  Life Science, Social Science, Astronomy, Chemistry 26/2/2007  |  myExperiment  |  Slide
Social Space & Shop: Semantic Challenge Shopping  for Workflows, Services Components.  Aggregating  workflows and provenance. Fuel for  diagnostics. Find a similar workflow. Organised metadata Identity and Ontology Authority Open tagging, folksonomies, blogging, profiles, recommendations, social network analysis e-tracking
webTaverna GUI  - main
Warehouse or Federation  Community web site? Distributed stores? Mixed identity regimes Identity authority Multiple  my Experiments Publish what I want when I want. Open Archives Initiative
Portals, wikis and community repositories
Science is not Pop Music Scientists are not Schoolgirls OpenWetWare is open Some Rights Reserved.  Protection as well as sharing. Curation and Policing. Quality, Reliability, Validation, Safety, Persistence, Longevity, Palpability? Pollution and viral infections. Privacy, IP, Authorship attribution and guarantees. Provenance can help. In-house results mixed with community resources. Maximum ease of sharing to achieve collective benefits – so workflows are "hackable" and "remixable".  When does your workflow stop being your workflow? “ Hell is other people’s workflows”  (as Jean Paul Sartre might have said)
Small labs or individuals Specialist workflows Expert and inexpert Leveraging and Serving  The Long Tail of Users Big labs & big groups Common  de facto  workflows
Users Add Value Adoption depends on lots of shared services and lots of shared workflows Incentive models for Scientists to share? Fame, reputation and funding.  Not being second; not being misrepresented. Add value to my service / application Get my tool / codes / dataset used Collaborate to compete. Good citizenship. Authorship recognition and credit. Protect my turf The Selfish Scientist – e-Science is me-Science
From me-Science to we-Science Tribal bonding and sharing Crossing Tribal Boundaries Across communities and disciplines (MIT) “ Intellectual Fusion” & “Swarming” Understanding outside my expertise. E.g. sources of error Serious metadata issues. Serious social issues.
Technical Challenges Workflow warehouse / federation of repositories   Open Archives Initiative. Federated myExperiments. Sharepoint. Social space + organised rich site   Social discourse + organised service / workflow space using curated semantics. Granularity and identifiers   Rolling-up provenance. Id resolution Open vs protected content   Quality, Reliability, Validation, Safety, Intellectual Property, Ownership, Secrecy, A duty of guardianship. Curation? Policing? Local data mixed with shared resources Desktop integration   Google gadgets for workflows. Interacting with workflows through Office products. Workflow execution   (WHIP) Workflows Hosted in Portals project Socialisation of communities Enabling Scientists added value   through applications and collaborative tagging ©
Conclusions Please join in at http://www.myexperiment.org

Myexperiment

  • 1.
    Adapted from atalk by... Carole Goble University of Manchester, UK
  • 2.
    FaceBook for Workflowe-Scientists myexperiment.org
  • 3.
    myExperiment.org A communitysocial network A market place A gateway to other publishing environments A platform for launching workflows Encapsulated myExperiment Objects Mindful publication
  • 4.
    Who is itby and for? Young people. With “MTV” thinking. Familiar with games. And shopping. And social networks. Make our tools like these. Say NO to 1970s interfaces Say NO to restrictive tooling
  • 5.
    Principles Focus onmaking it easy to publish information Discovering and sharing experimental artefacts Publishing results to standard community repositories Publishing scholarly output Familiar social networking / web paradigms Keeping it free and fluid and creative. Me-Science. Crossing system boundaries Trans-workflow Crossing discipline boundaries Multi-disciplinary, Inter-disciplinary, Trans-disciplinary Clustering expertise Intellectual fusion outside discipline. We-Science. Life Science, Social Science, Astronomy, Chemistry 26/2/2007 | myExperiment | Slide
  • 6.
    Social Space &Shop: Semantic Challenge Shopping for Workflows, Services Components. Aggregating workflows and provenance. Fuel for diagnostics. Find a similar workflow. Organised metadata Identity and Ontology Authority Open tagging, folksonomies, blogging, profiles, recommendations, social network analysis e-tracking
  • 7.
  • 8.
    Warehouse or Federation Community web site? Distributed stores? Mixed identity regimes Identity authority Multiple my Experiments Publish what I want when I want. Open Archives Initiative
  • 9.
    Portals, wikis andcommunity repositories
  • 10.
    Science is notPop Music Scientists are not Schoolgirls OpenWetWare is open Some Rights Reserved. Protection as well as sharing. Curation and Policing. Quality, Reliability, Validation, Safety, Persistence, Longevity, Palpability? Pollution and viral infections. Privacy, IP, Authorship attribution and guarantees. Provenance can help. In-house results mixed with community resources. Maximum ease of sharing to achieve collective benefits – so workflows are "hackable" and "remixable". When does your workflow stop being your workflow? “ Hell is other people’s workflows” (as Jean Paul Sartre might have said)
  • 11.
    Small labs orindividuals Specialist workflows Expert and inexpert Leveraging and Serving The Long Tail of Users Big labs & big groups Common de facto workflows
  • 12.
    Users Add ValueAdoption depends on lots of shared services and lots of shared workflows Incentive models for Scientists to share? Fame, reputation and funding. Not being second; not being misrepresented. Add value to my service / application Get my tool / codes / dataset used Collaborate to compete. Good citizenship. Authorship recognition and credit. Protect my turf The Selfish Scientist – e-Science is me-Science
  • 13.
    From me-Science towe-Science Tribal bonding and sharing Crossing Tribal Boundaries Across communities and disciplines (MIT) “ Intellectual Fusion” & “Swarming” Understanding outside my expertise. E.g. sources of error Serious metadata issues. Serious social issues.
  • 14.
    Technical Challenges Workflowwarehouse / federation of repositories Open Archives Initiative. Federated myExperiments. Sharepoint. Social space + organised rich site Social discourse + organised service / workflow space using curated semantics. Granularity and identifiers Rolling-up provenance. Id resolution Open vs protected content Quality, Reliability, Validation, Safety, Intellectual Property, Ownership, Secrecy, A duty of guardianship. Curation? Policing? Local data mixed with shared resources Desktop integration Google gadgets for workflows. Interacting with workflows through Office products. Workflow execution (WHIP) Workflows Hosted in Portals project Socialisation of communities Enabling Scientists added value through applications and collaborative tagging ©
  • 15.
    Conclusions Please joinin at http://www.myexperiment.org